Ferrari and IBM Redefine the Formula 1 Experience with AI

Formula 1 has always been about more than just speed. Behind every race, there are layers of precision, strategy, and engineering that fascinate fans worldwide. At IBM Think 2025, IBM and Ferrari announced a partnership aimed at bringing fans closer to that complexity. Together, they revealed a series of AI-driven features designed to enrich the Formula 1 fan experience.

These innovative tools reveal to fans the unseen aspects of racing — the calculations behind pit stops, the data shaping driver tactics, and the real-time decisions defining a race. The goal is simple: make fans feel as involved as the teams themselves, even if they’re watching from home.

A New Way to Watch Formula 1

IBM and Ferrari are transforming how Formula 1 fans experience a race, making it feel less like a distant spectacle and more like being in the team garage. Traditionally, Formula 1 revolved around data, but much of this complexity stayed hidden behind team walls. The new AI features bring these details front and center, presenting them in a natural and easy-to-track manner. IBM utilized its Watson technology to analyze real-time race information, while Ferrari contributed years of team experience, telemetry, and race history to train the system.

On race day, fans will see much more than lap times and a leaderboard. The AI explains — in clear language — actions like why a driver heads into the pits, how a drop in track temperature can affect tire choices, or which overtakes are most likely to succeed in the next few laps. It even assesses risks of different racing lines on the fly. These insights appear on screen as the action unfolds, helping fans connect with the strategy and split-second decisions that shape the outcome. For the first time, watching a race feels like being part of the team.

How the AI Works Behind the Scenes

Building these features required an intricate mix of machine learning models and cloud-based computation. During development, IBM trained the system on years of Ferrari’s race data, including thousands of scenarios that teams have faced in past seasons. The AI doesn’t just react to current events; it simulates possible outcomes based on historical patterns combined with the current track conditions.

Weather, tire wear, track temperature, and driver tendencies — all these variables are continuously fed into the system. The result is a predictive engine capable of offering viewers insights that even commentators couldn’t piece together instantly. For example, if a driver starts losing time over a few laps, the AI might predict that his tires will fall below optimal performance soon, explaining why the team calls him in for an early pit stop.

The backend is powered by IBM’s hybrid cloud and runs on infrastructure optimized for low latency. This ensures that predictions and explanations appear on the screen almost as fast as events happen. For Ferrari, this technology doubles as an internal resource, with the same insights used to refine decisions during the race.

Making Formula 1 More Accessible

One of the key challenges in Formula 1 has always been attracting new fans to a sport that can sometimes seem overly technical. The IBM and Ferrari AI features address this by simplifying complex data into clear, conversational language. Instead of bombarding audiences with charts and abbreviations, the system highlights what matters most at that moment — whether it’s the likelihood of a safety car, how fuel strategy could impact the finish, or which driver is poised to gain the most positions in the final laps.

Longtime fans benefit as well. For them, the added depth enhances what they already know. They can follow their favorite driver while also understanding how the entire field’s tactics interact. The AI explains not just what’s happening but why — something even seasoned analysts often debate. IBM Think 2025 positioned this feature as a way of democratizing expertise, letting everyone watching feel informed enough to have their take on the race strategy.

Ferrari sees it as an opportunity to strengthen its connection with its global fan base. In a sport where loyalty runs deep, offering something that helps fans appreciate the subtle decisions made by their favorite team can deepen that bond. Beyond just entertainment, it serves as a learning experience, showcasing the hidden layers that make each race unique.

Looking Ahead

This launch is only the beginning of what IBM and Ferrari plan to deliver. Both hinted at future updates to enhance the interactive experience. Plans include personalized content, where viewers could follow a specific driver or team throughout the race. Another idea is AI-driven highlights that summarize key moments for those who miss the live event.

The AI may also analyze social media sentiment in real time, giving broadcasters insight into how fans react to controversial decisions or dramatic moments. This could add a new layer to coverage, making fans feel closer to the global community watching.

IBM Think 2025 demonstrated how sports and technology are becoming more intertwined. Formula 1 has always pushed technical boundaries on the track; now it’s doing the same for how fans experience it at home. Ferrari’s willingness to share data once considered off-limits reflects a growing trend in sports to include audiences in more meaningful ways.

By combining IBM’s artificial intelligence with Ferrari’s racing knowledge, they have created a system that doesn’t just report races but tells the story behind every turn. For fans, it’s a chance to see what makes Formula 1 unique — not just the speed, but the strategy.

Conclusion

At IBM Think 2025, IBM and Ferrari introduced a new way for Formula 1 fans to experience races. Their AI technology reveals team insights in simple terms, letting viewers see the strategy behind every decision. This collaboration blends sport and technology, making the action feel more engaging and connected. Fans can now understand the hidden layers of racing, offering a clearer, more immersive view of the sport’s future.